【摘要】 目的 :提高眼底病临床诊断的效率与精度,给糖尿病性视网膜病变(diabetic retinopathy,DR)的进一步治疗提供理论依据,进而协助临床眼底病变的早期发现和诊断。方法:采用图像分割方法对DR血管进行处理和分析,选定临床拍摄的眼底图像和眼底荧光素血管造影(fundus fluorescein angiography,FFA)图像作为研究对象,对视网膜血管进行分割与提取。结果:该图像处理及分析方法对正常视网膜图像和病变图像血管分割均较为完整,与眼底图像及FFA图像相比,显示更加详细和清晰,精度有明显提高。结论 :用该方法对视网膜血管进行处理分析,能够帮助眼科医生更早期地发现病变,做出早期诊断,为DR治疗的研究提供新的思路,寻找更早期的治疗方法,将病变消灭在萌芽期,恢复患者视功能,提高生活质量。更多还原

【Abstract】 Objective To enhance the clinical diagnosis efficiency and accuracy of diabetic retinopathy(DR) to facilitate its early finding and diagnosis. Methods Image segmentation method was used to process and analyze DR vessel. Clinical images by fundus fluorescein angiography(FFA) were used as the objects for the research on DR vessel segmentation and extraction. Results Image processing and analysis gained higher definition and accuracy in segmenting the normal retinal image and DR vessel when they were compared with the fundus image and FFA image. Conclusion The method proposed enhances the early diagnosis of DR by processing and analyzing the retinal vessel, and thus contributes to the increased living quality of the patient.更多还原